Ecological compensation is becoming one of key and multidiscipline issues in the field of resources and environmental management. Considering the change relation between gross domestic product (GDP) and ecological cap...Ecological compensation is becoming one of key and multidiscipline issues in the field of resources and environmental management. Considering the change relation between gross domestic product (GDP) and ecological capital (EC) based on remote sensing estimation, we construct a new quantitative estimate model for ecological compensation, using county as study unit, and determine standard value so as to evaluate ecological compensation from 2001 to 2004 in Zhejiang Province, China. Spatial differences of the ecological compensation were significant among all the counties or districts. This model fills up the gap in the field of quantitative evaluation of regional ecological compensation and provides a feasible way to reconcile the conflicts among benefits in the economic, social, and ecological sectors.展开更多
AIM To evaluate the association between mortality-to-incidence ratios(MIRs) and health disparities.METHODS In this study, we used the GLOBOCAN 2012 database to obtain the cancer incidence and mortality data for 57 cou...AIM To evaluate the association between mortality-to-incidence ratios(MIRs) and health disparities.METHODS In this study, we used the GLOBOCAN 2012 database to obtain the cancer incidence and mortality data for 57 countries, and combined this information with the World Health Organization(WHO) rankings and total expenditures on health/gross domestic product(e/GDP). The associations between variables and MIRs were analyzed by linear regression analyses and the 57 countries were selected according to their data quality. RESULTS The more developed regions showed high gastric cancer incidence and mortality crude rates, but lower MIR values than the less developed regions(0.64 vs 0.80, respectively). Among six continents, Oceania had the lowest(0.60) and Africa had the highest(0.91) MIR. A good WHO ranking and a high e/GDP were significantly associated with low MIRs(P = 0.001 and P = 0.001, respectively).CONCLUSION The MIR variation for gastric cancer would predict regional health disparities.展开更多
基金Project (No. 2006AA120101) supported by the Hi-Tech Research and Development Program (863) of China
文摘Ecological compensation is becoming one of key and multidiscipline issues in the field of resources and environmental management. Considering the change relation between gross domestic product (GDP) and ecological capital (EC) based on remote sensing estimation, we construct a new quantitative estimate model for ecological compensation, using county as study unit, and determine standard value so as to evaluate ecological compensation from 2001 to 2004 in Zhejiang Province, China. Spatial differences of the ecological compensation were significant among all the counties or districts. This model fills up the gap in the field of quantitative evaluation of regional ecological compensation and provides a feasible way to reconcile the conflicts among benefits in the economic, social, and ecological sectors.
文摘AIM To evaluate the association between mortality-to-incidence ratios(MIRs) and health disparities.METHODS In this study, we used the GLOBOCAN 2012 database to obtain the cancer incidence and mortality data for 57 countries, and combined this information with the World Health Organization(WHO) rankings and total expenditures on health/gross domestic product(e/GDP). The associations between variables and MIRs were analyzed by linear regression analyses and the 57 countries were selected according to their data quality. RESULTS The more developed regions showed high gastric cancer incidence and mortality crude rates, but lower MIR values than the less developed regions(0.64 vs 0.80, respectively). Among six continents, Oceania had the lowest(0.60) and Africa had the highest(0.91) MIR. A good WHO ranking and a high e/GDP were significantly associated with low MIRs(P = 0.001 and P = 0.001, respectively).CONCLUSION The MIR variation for gastric cancer would predict regional health disparities.
